CAJ | 학술논문

以建设智能化日光温室物联网为目标，提出日光温室群物联网服务平台设计方案。该平台包括感知操作层、采集控制层、组网传输层、门户服务层和后台云支撑层5个层次，实现了温室群的数据存储、管理控制和云数据分析等功能。设计面向日光温室生产动态过程的实时云预警技术及云分析建模系统，提高日光温室生产的精细化作业水平。应用结果表明，该平台能扩大日光温室的管理规模，降低物联网系统建设和运行成本，提高日光温室群物联网的大数据存储和数据分析能力，并且具有良好的可扩展性、安全性和稳定性，在农业信息化领域有较好的推广前景。
이건설지능화일광온실물련망위목표，제출일광온실군물련망복무평태설계방안。해평태포괄감지조작층、채집공제층、조망전수층、문호복무층화후태운지탱층5개층차，실현료온실군적수거존저、관리공제화운수거분석등공능。설계면향일광온실생산동태과정적실시운예경기술급운분석건모계통，제고일광온실생산적정세화작업수평。응용결과표명，해평태능확대일광온실적관리규모，강저물련망계통건설화운행성본，제고일광온실군물련망적대수거존저화수거분석능력，병차구유량호적가확전성、안전성화은정성，재농업신식화영역유교호적추엄전경。
In the construction of intelligent sunlight greenhouse Internet of Things( IOT) as the goal,this paper puts forward a service platform for sunlight greenhouse group IOT based on cloud computing. The service platform is divided into five layers,which are named the perception manipulation layer,the acquisition control layer,the network transmission layer,the portal service layer and the background cloud layer,realizes the function of greenhouse group data storage and management control cloud data analysis. It studies the sunlight greenhouse production process oriented dynamic real-time cloud early warning technology and cloud analysis modeling system,promotes the fine work of the level of production in sunlight greenhouse. Application results show that the service platform can expand the management scale of sunlight greenhouses,reduce the cost of construction and operation IOT,improve the storage and data analysis abilities of IoT. The platform has good scalability,security,and stability,which has a good application prospect in the information management and control fields of facility agriculture.